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概要と使いどころ
Distills enduring architectural decisions and design rationale from wave orchestration plans or historical git changes into structured, tracked Architecture Decision Records (ADRs). Use pre-wave to resolve active architectural constraints or post-wave to record enduring decisions in docs/decisions/.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a professional git commit message from the repo's current diff. Analyzes all staged, unstaged, and untracked changes, categorizes them, and creates the commit directly (paste-safe commands are a fallback). Trigger on: "commit", "write a commit", "commit message", "what changed", "summarize changes", "draft commit", "changelog", or any request to commit, stage, or describe the current diff.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants to capture a real repo's working patterns as a reusable skill — analyzes the local git log and diffs the agent runs itself and drafts a new SKILL.md describing the team's coding patterns, into a scratch/output path the user names. Never overwrites an existing skill.
日本語の概要は準備中です。原文の説明を表示しています。
A skill that localizes contents into given locales.
日本語の概要は準備中です。原文の説明を表示しています。
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
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Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.
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Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue re...
日本語の概要は準備中です。原文の説明を表示しています。
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, i...
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You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
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Control FriendlyBet operating cost, free-tier viability, provider/API cost, GitHub Actions/Supabase/Vercel usage, documentation hygiene, company memory updates, playbook maintenance, and skill validation. Use when evaluating cost, operational burden, tooling, internal docs, company memory, or whether agent profiles should become full skills.
日本語の概要は準備中です。原文の説明を表示しています。
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
日本語の概要は準備中です。原文の説明を表示しています。
Use single-quoted strings for multiline git commit messages in the Shell tool. Prevents heredoc escaping failures that produce garbled commit messages.
日本語の概要は準備中です。原文の説明を表示しています。
Cuts the next minor release of Prisma Composer: bumps the root package.json version, propagates it to every workspace package in lockstep, and opens a PR titled "chore(release): v<next-version>". When a maintainer merges the PR, the `Publish to npm` workflow runs automatically and ships the new version to npm under dist-tag `latest`, plus a matching GitHub Release with auto-generated notes. Use when a maintainer asks to "cut the next minor", "bump to the next version", "open a release PR", or "prepare a publish PR".
日本語の概要は準備中です。原文の説明を表示しています。
REQUIRED helper functions (never raw curl), project_id patterns, suggestion block syntax with offset notation
日本語の概要は準備中です。原文の説明を表示しています。
REQUIRED --repo flag for all commands, helper functions for code review comments, suggestion block syntax rules
日本語の概要は準備中です。原文の説明を表示しています。
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.
日本語の概要は準備中です。原文の説明を表示しています。
Configure GitHub secret scanning and push protection, triage secret alerts, and run local pre-commit secret audits. Use when enabling secret scanning, handling blocked pushes, defining custom patterns, or checking a repo for accidental credentials before commit.
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Install audited skills from a curated list or GitHub repo path into Codex or Claude Code after selecting the target host. Use when a user asks to list or install a skill, including from a private repo; preserve Codex system-skill boundaries and use an explicit Claude destination for Claude Code.
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Guide for creating or updating effective portable skills with specialized knowledge, workflows, or tool integrations. Use for Codex, Claude Code, GitHub Copilot, or shared-catalog skill work after selecting the target host and installation path.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need to resolve an in-progress git merge/rebase conflict.
日本語の概要は準備中です。原文の説明を表示しています。
Create and manage Netlify deploys — Git continuous deployment, CLI manual/anonymous deploys, Deploy to Netlify buttons, drag-and-drop, and per-context netlify.toml build settings. Use when linking a repo, deploying from the CLI, setting up Deploy Previews or branch deploys, configuring deploy contexts, adding skew protection, fixing a failed or secrets-flagged deploy, or wiring build hooks and Deploy to Netlify buttons.
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Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
日本語の概要は準備中です。原文の説明を表示しています。
Azure deployment for web apps — Static Web Apps, App Service, Blob Storage, Bicep/ARM, GitHub Actions CI/CD. Use when deploying Next.js/Vite to Azure or configuring Azure resources for full-stack apps.
日本語の概要は準備中です。原文の説明を表示しています。
Expert en portails e-gouvernement (services citoyens, authentification, démarches, DZ)
日本語の概要は準備中です。原文の説明を表示しています。